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Direct linkFatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
Bagriacik Yilmaz, Ayse; Karatas, Serçin – Interactive Learning Environments, 2018
The aim of this study was to develop a measurement instrument which is compatible with literature, of which validity and reliability are proved with the aim of determining interaction perceived by learners in online learning environments. Accordingly, literature review was made, and outline form of the scale was formed with item pool by taking 14…
Descriptors: Foreign Countries, College Students, Likert Scales, Computer Mediated Communication
Zhang, Min; Liu, Yupei; Yan, Weiwei; Zhang, Yan – Interactive Learning Environments, 2017
Users' continuance intention plays a significant role in the process of information system (IS) service, especially virtual learning community (VLC) services. Following the IS success model and IS post-acceptance model, this study explores the determinants of users' intention to continue using VLCs' service from the perspective of quality,…
Descriptors: Virtual Classrooms, Intention, College Students, Student Surveys
Sharma, Sujeet Kumar; Sarrab, Mohamed; Al-Shihi, Hafedh – Interactive Learning Environments, 2017
The growth of Smartphone usage, increased acceptance of electronic learning (E-learning), the availability of high reliability mobile networks and need for flexibility in learning have resulted in the growth of mobile learning (M-learning). This has led to a tremendous interest in the acceptance behaviors related to M-learning users among the…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Surveys
Teo, Timothy – Interactive Learning Environments, 2016
This study serves to validate a Chinese translation of the Digital Native Assessment Scale (C-DNAS) and assess if significant differences exist between a sample of students and teachers from a culture different than the one used in the development of the DNAS. Participants were 402 university students from one province in Mainland China. Results…
Descriptors: Foreign Countries, Translation, Chinese, College Students
Johnson, Ruth; Stewart, Cindy; Bachman, Christine – Interactive Learning Environments, 2015
Although online student enrollment has shown double digit growth for almost a decade and academic leaders recognize that online education is necessary for enrollment growth, little is known about what motivates students to enroll in or faculty to teach face-to-face (F2F) versus online courses. The psychometric properties of a motivation scale were…
Descriptors: Online Courses, Academic Persistence, College Faculty, College Students
Huang, Yueh-Min; Hwang, Jan-Pan; Chen, Sherry Y. – Interactive Learning Environments, 2016
Cognitive styles have been regarded as a crucial factor that affects the effectiveness of web-based learning (WBL). Previous research indicated that educational settings that match with students' cognitive styles can enhance students' learning performance, which is, however, linked to their emotion. Various physiological signals can be applied to…
Descriptors: Web Based Instruction, Cognitive Style, Educational Environment, Emotional Response
Toikkanen, Tarmo; Lipponen, Lasse – Interactive Learning Environments, 2011
Studying networked learning (NL) by applying social network analysis (SNA) has gained popularity in recent years. However, it appears that in the context of NL the choice of SNA indices is very often dictated by using easily achievable SNA tools. Most studies in this field only involve a single group of students and utilise simple indices, such as…
Descriptors: College Students, Network Analysis, Social Networks, Learning Processes
Shin, Dong-Hee; An, Hyeri; Kim, Jang Hyun – Interactive Learning Environments, 2016
The use of a second screen can enhance information processing and the execution of search tasks within a given period. In this study, we examined the learner's attentional shift (AS) between two screens and controlled secondary tasks (STs) in the media multitasking setting and its effect on the learning process. In particular, we analyzed how…
Descriptors: Cognitive Processes, Search Strategies, Attention Control, Learning Processes
